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. 2017 Oct 2;7:12490. doi: 10.1038/s41598-017-11976-6

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© The Author(s) 2017

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Validation of the CPC secretome inferred from the transcriptomic analysis. (a) Comparative GO analysis of the CPC, MSC and HDF secretomes, carried out and visualized using the GOplot application. The representation shows up- (yellow) and downregulated (blue) genes differentially expressed in CPC (p < 0.02) relative to HDF (outer circumference) or MSC (inner circumference); non-differentially expressed genes are indicated (black). Colored network connects each gene(s) with main categories analyzed. (b) Comparison of the CPC secretome defined by mRNAseq (682 gene/proteins) with the direct proteomics secretome obtained from CM (185 proteins). (c) Venn diagram of the comparison of data from mRNAseq studies (682 gene/proteins), whole LF proteomics (465 proteins) and direct secretome analysis (185 proteins); only 79 gene/proteins were found in all three data sets.